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Abstract #1096

Fully automated assessment of myocardial ischemic burden – a joint perfusion and viability mapping approach

Cian Michael Scannell1, Adriana Villa1, Stefano Figliozzi1, Jack Lee1, Mikto Veta2, Marcel Breeuwer2,3, and Amedeo Chiribiri1
1King's College London, London, United Kingdom, 2Eindhoven University of Technology, Eindhoven, Netherlands, 3Philips Healthcare, Best, Netherlands

Quantitative myocardial perfusion MRI has the potential to guide the management of patients with coronary artery disease. It has been shown to have high prognostic value and has the benefit of being automated and user-independent. However, a known limitation of the technique is that it cannot distinguish between perfusion defects that are due to a previous infarction and inducible ischemia. In this work we combine quantitative myocardial perfusion with a further automated pipeline for scar quantification from LGE images. It is shown that this combined assessment can identify areas of inducible ischemia in which the tissue is viable.

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